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AV LÜ™

2,000-case formula stress test

Simulated scenarios · not dealer-verified

See what happens when repair costs move.

AvLu’s Outcome Simulation Lab runs 2,000 complete synthetic repair packets through the estimate, variance, and protected-offer math without presenting modeled results as real dealer evidence.

Planning and product demonstration only. These are not invoices, repair orders, predictive-accuracy results, or purchase approvals.

Simulation library
2,000 synthetic outcome scenarios
1,253costs close above plan
747costs close below plan
637within ±10% by design
6stress-test patterns

These counts describe the designed scenario mix. They do not measure real-world model accuracy.

Complete synthetic packets

Every simulation carries the full calculation trail.

Each case is complete enough to exercise the interface and formula, while its synthetic source prevents it from being promoted as dealer-verified evidence.

01

Vehicle identity

Year, make, model, and an unmistakable synthetic vehicle ID-never a plausible VIN.

02

Repair scope

A simulated repair date, scope description, parts estimate, hours, rate, and labor estimate.

03

Closeout costs

Simulated parts and labor closeout values with a reconciled total.

04

Variance

Dollar and percentage movement from the AvLu planning estimate.

05

Formula impact

The same variance flows directly into a revised protected maximum.

06

Source boundary

The source is always AvLu’s deterministic generator, not a dealer, mechanic, quote, or invoice.

Designed stress patterns

Six ways the cost stack can move.

The library is intentionally balanced across adverse, favorable, and mixed movements. That makes it useful for interface demonstrations and formula QA, not for claiming a success rate.

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Interactive outcome explorer

Inspect the estimate-to-closeout math.

Filter the 2,000 scenarios, choose a record, and follow every dollar into the protected-offer adjustment.

MethodDeterministic scenario generator

Repeatable inputs and formula outputs

Packet coverage9 of 9 modeled fields

Identity, date, scope, cost, source, and impact

Dealer verificationNot claimed

No synthetic row passes a real evidence gate

Simulation records Loading 2,000 scenarios…
Case Vehicle and scope AvLu estimate Simulated closeout Variance
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Interpret the results correctly

Simulation is not validation.

These cases answer “does the math and interface behave under varied inputs?” They do not answer “does AvLu predict actual repair outcomes?”

What 2,000 simulations support
  • Parts and labor reconciliation
  • Variance direction and percentage math
  • Protected-offer sensitivity
  • Interface behavior across varied cost stacks
  • Demonstration and interview scenarios
What they do not prove
  • Real-world predictive accuracy
  • Dealer or mechanic acceptance
  • A dated external estimate or final invoice
  • Title, condition, transport, or market proof
  • Purchase approval or guaranteed profit

DEALER VALIDATION UNDERWAY

The next proof is external.

A completed real-world outcome still requires the same vehicle identity, dated repair evidence, attributable source, repair scope, parts and labor, estimate, closeout, variance, and formula impact.

See the dealer evidence campaign

Bring a real repair packet

Turn the next simulation assumption into external proof.

The simulation lab demonstrates the workflow. A permissioned dealer or mechanic packet validates the outcome.